商业银行操作风险的统计特征及其资本模拟实证

本文通过对近年我国发生的商业银行操作风险事件的统计,得出了我国商业银行操作风险的重要特征,包括:内部欺诈及其导致的操作风险损失所占比重最大,操作风险资本的顺经济周期效应表现明显,欺诈性操作风险与地区法治水平呈现背离走势等.在对操作风险事件各损失类型发生的频率和损失金额分布进行拟合的基础上,运用蒙特卡洛模拟方法对我国商业银行操作风险资本进行10 231次模拟计算,结果显示,在置信水平为99.9%的条件下,我国整个商业银行业在拨备了3 163亿元的操作风险资本以后,大致可以抵御150年所遭遇的全部操作风险损失带来的冲击.     

SCENARIO GENERATION FOR OPERATIONAL RISK

Operational risk is an increasingly important area of risk management. Scenarios are an important modelling tool in operational risk management as alternative viable methods may not exist. This can be due to challenging modelling, data and implementation issues, and other methods fail to take into account expert information. The use of scenarios has been recommended by regulators; however, scenarios can be unreliable, unrealistic and fail to take into account quantitative data. These problems have also been identified by regulators such as Basel, and presently little literature exists on addressing the problem of generating scenarios for operational risk. In this paper we propose a method for generating operational risk scenarios. We employ the method of cluster analysis to generate scenarios that enable one to combine expert opinion scenarios with quantitative operational risk data. We show that this scenario generation method leads to significantly improved scenarios and significant advantages for operational risk applications. In particular for operational risk modelling, our method leads to resolving the key problem of combining two sources of information without eliminating the information content gained from expert opinions, tractable computational implementation for operational risk modelling, improved stress testing, what‐if analyses and the ability to apply our method to a wide range of quantitative operational risk data (including multivariate distributions). We conduct numerical experiments on our method to demonstrate and validate its performance and compare it against scenarios generated from statistical property matching for comparison. Copyright © 2013 John Wiley & Sons, Ltd.     

基于情景的操作风险计量方法研究

《巴塞尔资本协议II》鼓励金融机构使用高级计量法计算监管资本,以此更加准确地反映金融机构的操作风险水平。其中,基于情景的计量法融合损失分布法、记分卡法的优势,能够更加前瞻性地计量操作风险资本。本文深入研究基于情景的计量法的流程、建模技术以及实际应用情况,提出应重视SBA在我国的应用和实践、建立完整的基于隋景的计量法体系、注重克服基于SBA可能存在的问题等建议,有利于国内银行根据实际情况考虑使用SBA计量操作风险监管资本和经济资本。     

A Theoretical Framework for Incorporating Scenarios into Operational Risk Modeling

In this paper, I introduce a theoretically justified framework that incorporates scenario analysis into operational risk modeling. The basis for the framework is the idea that only worst-case scenarios contain valuable information about the tail behavior of operational losses. In addition, worst-case scenarios introduce a natural order among scenarios that makes possible a comparison of the ordered scenario losses with the corresponding quantiles of the severity distribution that research derives from historical losses. Worst-case scenarios contain information that enters the quantification process in the form of lower bound constraints on the specific quantiles of the severity distribution. The framework gives rise to several alternative approaches to incorporating scenarios.     

我国商业银行操作风险度量模型的选择

操作风险涉及银行经营活动的所有领域、各个环节和所有人员,不同银行、不同业务、不同环节的操作风险特征都不相同。操作风险度量是对操作风险进行经济资本配置的基础,目前还没有普遍适用的操作风险度量方法,现有的一些主流模型没有充分考虑内部控制对操作风险的影响和操作风险的因果性特征。因此,操作风险度量模型应考虑到其特征,既要综合主观和客观两方面的因素,也要可以灵活地进行动态调整。考虑到我国商业银行操作风险管理的实际,在操作风险度量模型的选择上,可用内部控制评价结果调整的基本指标法和标准法作为自上而下的度量模型,用贝叶斯网络技术作为自下而上的度量模型。     

The Financial Modeling of Property-Casualty Insurance Companies

This paper describes a financial model currently being used by a major U.S. multiline property-casualty insurer. The model, which was first developed for solvency monitoring purposes, is now being employed for a variety of internal management purposes as well, including (1) the allocation of equity to corporate units, thereby allowing measurements of profitability by business segment and policy year, as well as analysis of the progression of “free surplus,” (2) the analysis of major risks–such as inflation risks, interest rate risks, and reserving risks–that have heretofore been difficult to quantify, and (3) consideration of varying scenarios on the company’s financial performance, both of macroeconomic conditions as well as of the insurance environment.

Many aspects of financial modeling do not differ significantly between life and property-casualty insurers, and these are not discussed in the paper. Rather, the paper focuses on the following topics:

1. Surplus allocation and profitability: how economic surplus and the returns on this surplus are determined by line of business, separately for new business and for the runoff of existing business, and how the progression of free surplus is viewed.

2. Multifaceted risks: how to model risks that affect multiple components of the insurer’s operations, such as economic risks and financial risks. The multiple effects of macroeconomic conditions and changing inflation rates on workers’ compensation claim frequencies and severities complicate the basic interest rate path modeling of life insurance products and annuity contracts.

3. Scenario building: how to construct scenarios of macroeconomic conditions or industry cyclical movements to test the resilience of the company to changing external conditions.     

损失分布模型在操作风险中的应用分析

随着巴塞尔协议的公布,操作风险(Operational Risk)的量化模型已经成为银行业目前研究的主要课题。本文按照巴塞尔协议规定,利用损失分布方法(Loss Distribution Approach,LDA)来度量操作风险,这种方法的优点在于分别度量损失事件发生频度以及损失幅度,然后利用组合分布方法来研究一段时间内的累积损失分布。本文主要讨论在商业银行内部如何执行LDA以及引入操作风险在险值(Valueat Risk,VaR)的概念,并且介绍了能够反映损失分布的分布函数。同时按照巴塞尔协议公布的方法和策略,从损失事件类型、业务部门以及损失分布额度的估计方法探讨利用高级度量方法的可能性和现实性以及操作中的现实问题。     

商业银行业务运行风险集中监控模式分析

近年来,我国商业银行在业务运行过程中产生的损失事件日益繁多,且多为内部因素形成,其损害更隐蔽、更常见,破坏力也更大。本文以工商银行江西省分行实施全省集中监控运行风险为例,深入剖析了业务运行风险理论基础和运行风险发生机理,探讨了业务运行风险省行级集中监控模式的应用对象、实施路径、管理流程以及进一步推进风险集中监控纵深发展的措施。为了深入推进业务运行风险集中监控模式,应当进一步树立风险管理全局意识,加快风险分级管理机制及风险评估机制建设,加强监控队伍建设。     

基于现金流量模型的高校财务风险评价体系

高校资金运营的监管已成为高校风险管理的核心,本文从现金流量的角度来研究高校财务风险问题。在界定高校财务风险内涵的基础上,将其划分为高校日常运营风险、投资风险及筹资风险。基于现金流量表的编制,本文构建了现金流量模型下的高校财务风险评价体系,并通过算例检验了体系的适用性。结果表明,该体系有助于评价高校财务风险状况、说明高校财务风险的具体成因,为防范与控制高校财务风险提供了一种有效的诊断工具。     

Naturgefahrenmodellierung in internen Risikomodellen – Unverzichtbares Rüstzeug für Strategieentscheidungen des Managements der Zukunft

Management requires internal models, which will usually span a period of several years (such as five), for analysing the financial situation of the insurance company and supporting strategic value- and risk-based company management. Catastrophe risks play an important role in risk management as a substantial share of the company’s entire risk capital is committed to natural catastrophes. So the article aims to compare two approaches in modelling storm loss in the context of applicability in strategic management. Concretely modelling deductibles in storm insurance is shown using the mathematical statistical approach. A case study will analyse various strategies and their effects on the insurance company’s single and multi-year risk-return position using example data where risk is dominated by catastrophes in order to give a concrete idea for the use of multi-period internal models in the context of management.     

Quantitative measures of operational risk: an application to funds management

Basel II defines operational risk as the risk of direct or indirect loss resulting from inadequate or failed internal processes, people or systems or from external events. In the past decade, there have appeared a number of quantitative approaches to measuring this risk, approaches that abstract from market risk and reputational risk. The challenge is to develop operational risk measures in an asset management context where there is only limited information available about the incidence and severity of operational loss events. We survey different approaches to this problem and argue that managing this risk through operational due diligence is a source of alpha in this funds management context.     

Internal loss data collection implementation: evidence from a large UK financial institution

The paper conducts a critical analysis of internal loss data collection implementation in a UK financial institution. We use elite semi-structured interviews, with a sample of 15 operational risk consultants from a leading international financial institution. Using content analysis, the data covers a wide range of business areas, with particular attention drawn towards the development of internal loss collection and operational risk management. The results suggest that the development of operational risk management as a function stems from external compliance (Basel II) and the internal pressure to add value to the business portfolio. This need for compliance was augmented as a driver of internal loss data collection; however, participants also recognised that the function of loss data collection is a tool of solid internal risk management and enhances managerial decision-making. The research also highlights the problems in cleansing data in order to ensure that all information implemented in the capital allocation model is valid and reliable.     

Assessing risks due to threats to internal control in a computer‐based accounting information system: a pragmatic approach based on fuzzy set theory

A rational risk assessment model, based on the reasoning of fuzzy set theory, is presented. The model would help managers assess risk exposure due to potential threats to internal control in a computer‐based accounting information system. Such risk assessment is essential in making appropriate decisions about establishing new internal control policies and procedures that may be necessary to protect the integrity and security of the information system. Copyright © 2004 John Wiley & Sons, Ltd.     

互联网保险公司财务风险研究

互联网保险特殊经营模式使保险公司呈现固定资产占比较小、资产负债率较低、保险产品"场景化、碎片化"、渠道成本低廉等财务特征,也使保险公司面临更为错综复杂的财务风险,如对股东的权益性资金依赖性较强、定价风险加大、盈利空间不定以及骗赔套保和洗钱风险等.鉴此,应拓宽筹资渠道,优化保险产品定价,提高保费收入持续增长能力,降低运营和合作成本,构建第三方保单认证和风险评估体系,加强资金规范化管理,强化外部监管等.     

基于行业环境风险识别的企业财务预警控制系统研究

行业环境风险与企业财务风险存在着客观的内在逻辑关联,两者相辅相成,行业环境的变化最终会通过与企业财务战略的联动作用于各财务要素,从而引发财务风险。本文在深入探索基于行业环境风险识别的企业财务预警控制机理的基础上,分析了行业环境风险的识别方法,并利用系统动力学原理构建企业财务预警控制模型,将行业环境风险与企业财务风险的互动关系在一张"风险地图"中直观地演绎出来。最后通过仿真技术实现了财务预警与风险控制的有机结合。本研究为企业在复杂多变的客观环境中,增强自身抗风险能力和应变能力提供了一条新途径。     

Operational risk

This paper provides an economic and mathematical characterization of operational risk useful for clarifying the issues related to estimation and the determination of economic capital. The insights for this characterization originate in the corporate finance literature. Operational risk is subdivided into two types, either: (i) the risk of a loss due to the firm’s operating technology, or (ii) the risk of a loss due to agency costs. These two types of operational risks generate loss processes with different economic characteristics. We argue that the current methodology for the determination of economic capital for operational risk is overstated. It is biased high because the computation omits the bank’s net present value (NPV) generating process. We also show that although it is conceptually possible to estimate the operational risk processes’ parameters using only market prices, the non-observability of the firm’s value makes this an unlikely possibility, except in rare cases. Instead, we argue that data internal to the firm, in conjunction with standard hazard rate estimation procedures, provides a more fruitful alternative.     

Biometric Solvency Risk for Portfolios of General Life Contracts. I. The Single-Life Multiple Decrement Case

Abstract

Solvency II splits life insurance risk into seven risk classes consisting of three biometric risks (mortality risk, longevity risk, and disability/morbidity risk) and four nonbiometric risks (lapse risk, expense risk, revision risk, and catastrophe risk). The best estimate liabilities for the biometric risks are valued with biometric life tables (mortality and disability tables), while those of the nonbiometric risks require alternative valuation methods. The present study is restricted to biometric risks encountered in traditional single-life insurance contracts with multiple causes of decrement. Based on the results of quantitative impact studies, process risk was deemed to be not significant enough to warrant an explicit calculation. It was therefore assumed to be implicitly included in the systematic/parameter risk, resulting in a less complex standard formula. For the purpose of internal models and improved risk management, it appears important to capture separately or simultaneously all risk components of biometric risks. Besides its being of interest for its own sake, this leads to a better understanding of the standard approach and its application extent. Based on a total balance sheet approach we express the liability risk solvency capital of an insurance portfolio as value-at-risk and conditional value-at-risk of the prospective liability risk understood as random present value of future cash flows at a given time. The proposed approach is then applied to determine the biometric solvency capital for a portfolio of general life contracts. Using the conditional mean and variance of a portfolio’s prospective liability risk and a gamma distribution approximation we obtain simple solvency capital formulas as well as corresponding solvency capital ratios. To account for the possibility of systematic/parameter risk, we propose either to shift the biometric life tables or to apply a stochastic biometric model, which allows for random biometric rates. A numerical illustration for a cohort of immediate life annuities in arrears reveals the importance of process risk in the assessment of longevity risk solvency capital.     

总分行制度下基于Delta-EVT模型的操作风险度量研究

总分行制度下制度设计缺陷及人员管理等方面的失误是商业银行操作风险产生的重要原因之一.在操作风险损失数据不完全的情况下,首先将损失进行分类,并选取总行对分行管理人员配备的误差、机构内部人员的组合误差、员工素质问题、分行出现问题后向总行报告的时间延误和总行及时处理问题分行的能力等特定的风险因子,继而借助Delta-EVT模型,采用Delta方法计算由以上风险因子导致的操作损失.通过计算,由于控制失效或外部事件引起的超额损失,再利用门槛值将两者结合起来,用EVT方法可以较准确地估算出在分行经营过程中和在向总行传递信息过程中由于制度设计不合理导致的操作风险.     

New Risk-Based Capital Standards in the European Union: A Proposal Based on Empirical Data

In response to criticism concerning the current solvency system, the European Commission is developing new rules for insurance companies operating in the member states of the European Union (EU). Under this so-called Solvency II concept, an insurer is allowed to verify its solvency by using an internal risk management model previously approved by the regulatory authority. In this article we develop such an internal risk management approach for property-liability insurers that is based on dynamic financial analysis (DFA). The proposed concept uses a simulation technique and models the central risk factors from the investment and underwriting areas of an insurance company. On the basis of the data provided by a German insurer, the ruin probabilities under different scenarios and varying planning horizons are calculated.     

终极控制人性质、内部控制缺陷与企业风险

以2008~2014年上市公司为研究对象,考察转型经济环境下终极控制人性质如何影响内部控制缺陷及其修复与企业风险之间的关系。研究发现,内部控制缺陷越大,企业风险越高,但缺陷修复能显著降低企业风险;进一步研究发现,国有企业比民营企业的风险程度显著更小,但相对央企而言,地方国有企业更容易出现风险,尤其在治理环境差的地区,地方国企的风险程度显著更高。研究表明,不同的终极控制人性质导致了企业内部控制缺陷对企业风险的不同影响,这既为深化国有企业改革提供经验证据,也进一步昭示强化企业内部控制风险免疫功能的重要性与紧迫性。